Involved generative machine learning models for functional testing
US10984311B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 27, 2019 |
| Grant date | Apr 20, 2021 |
| Priority date | — |
| Expiry date | Nov 1, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/047
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system includes a display device, a memory configured to store a visual analysis application and image data including a plurality of images including detectable objects; and a processor, operatively connected to the memory and the display device. The processor is configured to execute the visual analysis application to learn generative factors from objects detected in the plurality of images, visualize the generative factors in a user interface provided to the display device, receive grouped combinations of the generative factors and values to apply to the generative factors to control object features, create generated objects by applying the values of the generative factors to the objects detected in the plurality of images, combine the generated objects into the original images to create generated images, and apply a discriminator to the generated images to reject unrealistic images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.